Akinori Abe

E-Nightingale is quite a new research project (For the whole project, please clickhere.). Only overviews and abstracts of my research are shown below....

E-Nightingale is a research project that aims to analyze the behaviour of nurses. The behaviour will be extracted from the data that will be taken by using the ubiquitous techniques [1]. We hope our analysis will be benefitable to improve their work in a hospital and to prevent unconscious accidents.

• Integrated data mining

  Abstract of [2]:
  In this paper, we propose an integrated data mining system in which missing information is collected from other monitoring systems to be used for data mining. Recently. it has been recognized that a medical risk management is very important both for hospitals and hospital patients. To prevent nursing accidents and incidents, it is important to analyze previous examples of nursing accidents and incidents. Thus, hospitals usually collect reports on nursing accidents and incidents to analyze feature of accidents and incidents. From the viewpoint of data mining and from the fact that recently some hospitals have introduced electronic medical recording, it is much easier to analyze a lot of reports with the help of computers. In fact, some data mining techniques can be applied for analyzing nursing accidents and incidents reports. However, in most cases, the results are not only typical tendencies or rules but also superficial rules. This happens because since the reports lack much information, it is difficult to find complex results only from the reports. We overcome the problem to integrate a data mining system and monitor systems to supplement missing information.

  

• Analysis of Nursing errors In this project, we would like to model features of nursing errors. The results from the analyses will be applied to the following nursing risk managemnet.

• Nursing risk management as Chance Discovery

  Abstract of [3,4]:
  In this paper, we analyze the feature of chance in nursing risk management for better management. Recently, it has been recognized that medical risk management is very important both for hospitals and hospital patients. To reduce nursing accidents, examples of nursing accidents are usually collected for analysis. This allows us to obtain certain tendencies of nursing accidents and causality between environment and nursing accidents. Such knowledge can be useful in nursing risk management, but is not fully adequate. In addition, in a real situation, it is necessary to deal with a hidden relationship between an ignored event or factor and an accident. Thus, in this paper, we analyze the feature of hidden factors in nursing accidents and propose a way to determine chance (= hidden or ignored factors) as abductive hypotheses.

  [6] and [19] introduced a concept of scenario and [7] analyzed nurses' conversation from the viewpoint of risk management.
  In details, please see Chance Disocovery section.

• Ontology in nursing We are now researching for constructing ontologies for nursing activities. For that, we are currently collecting nurses' voice during their actual activities. And we transcribe the data to build corpora [8,10]. In addition, we are now analyzing the collected data to extract or model nursing specialized terminologies [11,12,16].

References:

1. Norihiro Hagita: E-Nightingale Project, ATR Journal, No. 45, pp. 3 (2002) in Japanese
2. Abe A., Kogure K., Hagita N. and Iseki H.: Integrated Data Mining System for Analysis of Nursing Accidents and Incidents, Proc. of SCI2004 (2004)
3. Abe A., Kogure K. and Hagita N.: Determination of A Chance in Nursing Risk Management, Proc. of ECAI2004 Workshop on Chance Discovery, pp. 222-231 (2004)
4. Abe A., Kogure K. and Hagita N.: Nursing Risk Prediction as Chance Discovery, Proc. of KES2004 Vol. II, pp. 815--822 (2004).
5. Abe A. and Kogure K.: Toward Building A Nursing Ontology --- An Analysis of Nursing Dictionaries, Technical Note of JSAI, SIG-LSE-A402-1, pp. 1--8 (2004) in Japanese
6. Abe A., Naya F., Ozaku H.I., Kuwahara N., and Kogure K.: Scenario Violation in Nursing Activities, Proc. of the ICML05 4th Int'l Workshop on Chance Discovery, pp. 102--109 (2005)
7. Abe A., Naya F., Ozaku H.I., Sagara K., Kuwahara N., and Kogure K.: Risk Management by Focusing on Critical Words in Nurses' Conversations, Proc. of KES2005, Vol I, pp. 1167--1173 (2005)
8. Ozaku H.I., Sagara k., Naya F., Kuwahara N., Abe A., and Kogure K.: Building Dialogue Corpora for Nursing Activity Analysis, Proc. of LINC-2005 Workshop, pp. 41--48 (2005)
9. Ozaku H.I., Abe A., Sagara K., Kuwahara N., and Kogure K.: A Task Analysis of Nursing Activites Using Spoken Corpora, Advances in Natural Language Processing, Research in Computing Science, Vol.18, pp. 125--136 (2006)
10. Ozaku H.I., Sagara K., Kuwahara N., Abe A., and Kogure K.: Nursing Spoken Corpora for Understanding Nursing Assignments, Proc. of NI2006, pp. 481--485 (2006)
11. Sagara K, Abe A., Ozaku H.I., Kuwahara N., and Kogure K.: Features of Standardized Nursing Terminology Sets in Japan, Proc. of NI2006, pp. 471--475 (2006)
12. Ozaku H.I., Abe A., Sagara K., Kuwahara N., and Kogure K.: Features of terminologies in actual nursing activities, Proc. of LREC2006, pp. 2367--2372 (2006)
13. Abe A., Ozaku H.I., Kuwahara N., and Kogure K.: Scenario-base Construction for Abductive Nursing Risk Management, Proc. of IPUM2006, pp. 206--213 (2006)
14. Abe A., Ozaku H.I., Kuwahara N., and Kogure K.: What Should be Abducible in Abductive Nursing Risk Management?, Proc. of KES2006 (LNAI4253), Vol III, pp. 22--29 (2006)
15. Abe A., Ozaku H.I., Kuwahara N., and Kogure K.: Relation between Abductive and Inductive Nursing Risk Managements, Proc. of RM2006 (JSAI2006), pp. 121--132 (2006)
16. Sagara K, Ozaku H.I., Abe A., Naya F., Kuwahara N., and Kogure K.: Analysis of Misheard Phrases in Nursing Dialogue, Proc. of APAMI2006, pp. 171--176 (2006)
17. Abe A. and Kogure K.: E-Nightingale: Crisis detection in nursing activities, in Chance Discoveries in Real World Decision Making (Ohsawa Y. and Tsumoto S. Eds.), Data-based Interaction of Human intelligence and Artificial Intelligence Series: Studies in Computational Intelligence, Chap. 15, pp. 357--371, Vol. 30, 2007, XIV, 404 (2006)
18. Abe A., Ozaku H.I., Kuwahara N., and Kogure K.: Cooperation between Abductive and Inductive Nursing Risk Management, Proc. of RM2006 (ICDM2006), pp. 705--708 (2006)
19. Abe A., Ozaku H.I., Kuwahara N., and Kogure K.: Scenario Violation in Nursing Activities --- Nursing Risk Management from the viewpoint of Chance Discovery, Soft Computing Journal, Springer, Vol. 11, No. 8, pp. 799--809 (2007)
20. Abe A., Ozaku H.I., Kuwahara N., and Kogure K.: Relation between Abductive and Inductive Types of Nursing Risk Management, Post-proc. of JSAI2006 (LNAI 4834), pp. 387--400 (2007)
21. Kuwahara N., Takeuchi Y., Ohboshi N., Osaku H.I., Naya F., Abe A., and Kogure K.: Verifying Nursing Activities based on Nursing Workflow Model for Detecting Errors, Proc. of Casemans2007, pp. 23--34 (2007) (Best Paper)
22. Abe A., Ozaku I.H., Ohsawa Y., Sagara K., Kuwahara N., and Kogure K.: Communication error determination model for multiply layered situations, Proc. of RI2007 (JSAI2007), pp. 38--48 (2007)
23. Abe A., Ozaku H.I., Sagara K., Kuwahara N., and Kogure K.: Nursing Risk Management by Focusing on Critical Words or Phrases in Nurses' Conversations, Int'l J. of Knowledge-based and Intelligent Engineering Systems, Vol. 11, No. 5, pp. 281--289 (2007)
24. Abe A., Ohsawa Y., Ozaku H.I., Sagara K., Kuwahara N., and Kogure K.: Communication error determination model for multi-layered or chained situations, Proc. of PAKDD 2008 Working Notes of Workshops on Data Mining for Decision Making and Risk Management, pp. 305--316 (2008)
25. Ozaku H.I., Abe A., Sagara K., and Kogure: Relationships between nursing conversations and activities, Proc. of LREC2008 (2008)
26. Abe A., Ohsawa Y., Ozaku H.I., Sagara K., Kuwahara N., and Kogure K.: Communication error determination model for multi-layered or chained situations, Proc. of PAKDD 2008 Working Notes of Workshops on Data Mining for Decision Making and Risk Management, pp. 305--316 (2008)
27. Kuwahara N., Takeuchi Y., Ohboshi N., Osaku H.I., Naya F., Abe A., and Kogure K.: Verifying Nursing Activities based on Nursing Workflow Model for Detecting Errors, in Role of Context-Awareness in Developing Self-Managing Systems (Dargie W. eds.), Chapter 2, pp. 15--40, CRC Press (2009)
28. Abe A., Hagita N., Furutani M., Furutani Y., and Matsuoka R.: An Interface for Medical Diagnosis Support ---from the viewpoint of Chance Discovery, International Journal of Advanced Intelligence Paradigms, Vol. 2, No. 2/3, pp. 283--302 (2010)
29. Abe A., Ohsawa Y., Ozaku I.H., Sagara K., Kuwahara N., Kogure K.: Communication Error Determination System for Multi-layered or Chained Situations, Fundamenta Informaticae, 98, pp. 123--142 (2010)
30. Abe A., Ohsawa Y., Kuwahara N., Ozaku I.H., Sagara K., Kogure K.: Scenario Violation as Gaps between Activity Patterns, New Mathematics and Natural Computation, Vol. 6, No. 2, pp. 193--208 (2010)